Sr Data Visual Research Scientist 2 of 2
Dolby
- Bangalore, Karnataka
- Permanent
- Full-time
- Developing new algorithms and tools that enable an amazing variety of interactive and immersive data-driven experiences informed by AI-based, acoustic, and other techniques to infer context of both content and the world around us.
- Develop data visualization techniques, data science algorithms, and model observability methods across disparate applied problems and heterogenous data domains, including tabular, time series, text, audio and video.
- Collecting and analyzing unstructured data, applying data visualization expertise and data analysis skills to understand customer behavior or enable novel experiments.
- Developing and combining deep learning methodologies with perceptually relevant metrics.
- Partner with ATG researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.
- Technical depth: Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.
- Explore new technologies: Openness to learn new areas and innovate in the new areas.
- Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.
- Work with a sense of Urgency: Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.
- Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.
- PhD in Computer Science, or similar fields
- Expertise in data visualization, human computer interaction, or big data analytic techniques
- Knowledge of statistics and machine learning
- Proficiency in data structures and algorithms
- Expertise in visualizing complex data in popular frameworks (such as ggplot, d3, matplotlib, plotly, bokeh, etc.)
- Expertise with streamlit, Dash, and other popular “data app” platforms
- Familiarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
- Familiar with git and project management tools, such as JIRA
- Excellent problem-solving and partnership skills
- Excellent communication and presentation skills
- Experience with AI models and cloud-based software development of AI models.
- Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS)
- Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services
- Bonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.